Model your data as a series of process observations or measures that are associated with an outcome of interest. Compose each observation as a common set of features (aka., independent variables or factors) along with any associated outcome. Both features and outcomes are either numerical (dates, times, ages, etc.), binary (yes/no, true/false, etc.) or categorical (Gender, Service line , Floor unit, Shift, DRG, etc.).